Enterprise Data & Analytics Engineer
Core
Unifying complex, siloed data from internal ERPs and Product Life Cycle Manager systems with external retail signals to optimize production-to-shelf stages.
Role type
Enterprise Data & Analytics Engineer
Builds
Scalable ETL/ELT pipelines, analytics-ready data layers (Medallion Architecture), and automated data quality checks.
Domain
Consumer Packaged Goods (CPG) / Retail / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (PySpark), SQL, Azure Databricks, Delta Lake, Azure Data Factory, Git, Cloud Architecture
Preferred skills
Spark core architecture, Unity Catalog, CI/CD processes, Performance Tuning
Technologies
Azure Databricks, PySpark, Spark SQL, Azure Data Lake Storage (ADLS), Azure Data Factory, Unity Catalog, Delta Live Tables, Git
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Clean, normalize, and aggregate raw data into analytics-ready formats; Configure and monitor data workflows; Implement data access controls and cataloging; Develop automated data quality checks.
Seniority
Mid-level, hands-on IC
